Source avec lien : International Journal of Industrial Ergonomics, 96. 10.1016/j.ergon.2023.103459
Les travailleurs de l’industrie de la construction modulaire sont fréquemment exposés à des risques ergonomiques qui peuvent entraîner des blessures et une baisse de la productivité. C’est pourquoi les chercheurs ont proposé un certain nombre de méthodes d’évaluation des risques ergonomiques afin d’identifier les défauts de conception des systèmes de travail, ce qui permet de réduire l’inconfort ergonomique et de stimuler la productivité sur le lieu de travail. Cependant, les organisations négligent souvent l’évaluation des risques ergonomiques en raison d’un manque d’outils et de connaissances pratiques. C’est pourquoi cette étude propose un système d’aide à la décision basé sur la logique floue afin d’aider les praticiens à évaluer automatiquement et de manière exhaustive les performances ergonomiques des systèmes de travail.
Workers in the modular construction industry are frequently exposed to ergonomic risks, which may lead to injuries and lower productivity. In light of this, researchers have proposed a number of ergonomics risk assessment methods to identify design flaws in work systems, thereby reducing ergonomic discomfort and boosting workplace productivity. However, organizations often disregard ergonomics risk assessments due to a lack of convenient tools and knowledge. Therefore, this study proposes a fuzzy logic-based decision support system to help practitioners to automatically and comprehensively assess the ergonomic performance of work systems. For comprehensive assessment of ergonomic risk, the proposed decision support system considers physical, environmental, and sensory factors. Specifically, the decision support system comprises eight fuzzy expert systems that output a composite risk score, called an “ergonomic risk indicator”, that indicates the overall level of ergonomic risk present in a given work system. The performance of the proposed decision support system is then evaluated using a real-world case study in a modular construction facility by comparing the results of the decision support system with the facility’s occupational injury reports. The results prove the effectiveness of the decision support system. Overall, the decision support system is capable of generating a composite risk score, the ergonomic risk indicator, and the proposed high-level architecture and design represent significant contributions for the enhancement of health and safety in the modular construction industry.